
\centering
\begin{tabular}[t]{lcccccccc}
\toprule
\multicolumn{1}{c}{ } & \multicolumn{8}{c}{Dependent variable:} \\
\cmidrule(l{3pt}r{3pt}){2-9}
\multicolumn{1}{c}{ } & \multicolumn{8}{c}{How sympathetic or unsympathetic did the politician seem towards those impacted?} \\
\cmidrule(l{3pt}r{3pt}){2-9}
\multicolumn{1}{c}{ } & \multicolumn{4}{c}{Republican Politician} & \multicolumn{4}{c}{Democratic Politician } \\
\cmidrule(l{3pt}r{3pt}){2-5} \cmidrule(l{3pt}r{3pt}){6-9}
\multicolumn{1}{c}{ } & \multicolumn{1}{c}{Pooled} & \multicolumn{1}{c}{Republicans} & \multicolumn{1}{c}{Democrats} & \multicolumn{1}{c}{Independents} & \multicolumn{1}{c}{Pooled} & \multicolumn{1}{c}{Republicans} & \multicolumn{1}{c}{Democrats} & \multicolumn{1}{c}{Independents} \\
\cmidrule(l{3pt}r{3pt}){2-2} \cmidrule(l{3pt}r{3pt}){3-3} \cmidrule(l{3pt}r{3pt}){4-4} \cmidrule(l{3pt}r{3pt}){5-5} \cmidrule(l{3pt}r{3pt}){6-6} \cmidrule(l{3pt}r{3pt}){7-7} \cmidrule(l{3pt}r{3pt}){8-8} \cmidrule(l{3pt}r{3pt}){9-9}
  & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8)\\
\midrule
treat & \num{-0.042} & \num{-0.219}*** & \num{0.041} & \num{0.047} & \num{-0.119}*** & \num{-0.284}*** & \num{0.016} & \num{-0.165}*\\
 & (\num{0.040}) & (\num{0.075}) & (\num{0.055}) & (\num{0.092}) & (\num{0.041}) & (\num{0.079}) & (\num{0.053}) & (\num{0.093})\\
female & \num{0.111}*** & \num{0.141}* & \num{0.056} & \num{0.105} & \num{0.114}*** & \num{0.221}*** & \num{0.062} & \num{-0.051}\\
 & (\num{0.040}) & (\num{0.074}) & (\num{0.057}) & (\num{0.094}) & (\num{0.042}) & (\num{0.081}) & (\num{0.055}) & (\num{0.094})\\
white & \num{-0.012} & \num{0.174} & \num{-0.065} & \num{-0.081} & \num{0.016} & \num{-0.015} & \num{0.157}*** & \num{-0.060}\\
 & (\num{0.047}) & (\num{0.129}) & (\num{0.059}) & (\num{0.098}) & (\num{0.047}) & (\num{0.109}) & (\num{0.059}) & (\num{0.100})\\
college & \num{0.003} & \num{-0.061} & \num{0.038} & \num{-0.042} & \num{0.055} & \num{0.062} & \num{-0.094} & \num{0.143}\\
 & (\num{0.045}) & (\num{0.082}) & (\num{0.067}) & (\num{0.100}) & (\num{0.049}) & (\num{0.090}) & (\num{0.065}) & (\num{0.105})\\
\midrule
Num.Obs. & \num{2106} & \num{704} & \num{970} & \num{432} & \num{2102} & \num{687} & \num{993} & \num{422}\\
R2 & \num{0.019} & \num{0.054} & \num{0.024} & \num{0.089} & \num{0.018} & \num{0.064} & \num{0.035} & \num{0.096}\\
R2 Adj. & \num{0.006} & \num{0.016} & \num{-0.004} & \num{0.029} & \num{0.006} & \num{0.026} & \num{0.008} & \num{0.035}\\
\bottomrule
\multicolumn{9}{l}{\rule{0pt}{1em}Regressions also include fixed effects for income level}\\
\multicolumn{9}{l}{\rule{0pt}{1em}* p $<$ 0.1, ** p $<$ 0.05, *** p $<$ 0.01}\\
\end{tabular}

